A Deep Learning based Approach to Android Botnet Detection using Transfer Learning
Author:
Affiliation:
1. College of Computer Engineering and Science Prince Mohammad Bin Fahd University,Khobar,KSA
2. Cyber Technology Institute De Montfort University,Leicester,United Kingdom
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008334.pdf?arnumber=10008334
Reference23 articles.
1. Deep Residual Learning for Image Recognition
2. Densely Connected Convolutional Networks
3. On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
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1. Generating sparse explanations for malicious Android opcode sequences using hierarchical LIME;Computers & Security;2024-02
2. Employing combined spatial and frequency domain image features for machine learning-based malware detection;Electronic Research Archive;2024
3. Unmasking the Botnet Attacks: A Hybrid Deep Learning Approach;Lecture Notes in Networks and Systems;2024
4. Mobile Threat Detection System: A Deep Learning Approach;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08
5. Detection of forest fire using deep convolutional neural networks with transfer learning approach;Applied Soft Computing;2023-08
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